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Cited by 164 publications
(25 citation statements)
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“…The CCHP system optimization problems are always attributed to the multi-objective problem since almost all the investigations consider not only energy savings but also payback time and greenhouse gas emission reduction. The most common optimization algorithms used in CCHP system are genetic algorithm (GA) (Zhang et al, 2018), particle swam optimization algorithm (PSO) (Luo and Fong, 2017a) and differential evolution algorithm (DEA) (Yao et al, 2017). The optimization of system control strategy has a great impact on system operation performance.…”
Section: Control and Optimizationmentioning
confidence: 99%
“…The CCHP system optimization problems are always attributed to the multi-objective problem since almost all the investigations consider not only energy savings but also payback time and greenhouse gas emission reduction. The most common optimization algorithms used in CCHP system are genetic algorithm (GA) (Zhang et al, 2018), particle swam optimization algorithm (PSO) (Luo and Fong, 2017a) and differential evolution algorithm (DEA) (Yao et al, 2017). The optimization of system control strategy has a great impact on system operation performance.…”
Section: Control and Optimizationmentioning
confidence: 99%
“…Yang et al proposed a DES model based on gas turbine (GT) integrated with solar energy and AA‐CAES, besides the advantages and disadvantages of two different control strategies of AA‐CAES is also studied. Similarly, Yao et al established a CCHP system integrated with AA‐CAES and studied the trade‐off between the thermodynamic and economical performances. Liu et al proposed a concept of three‐step planning, which optimize the power generation scale of the CCHP system while considering the flexibility and stability of the grid.…”
Section: Introductionmentioning
confidence: 99%
“…Considering that the optimization process usually contains more than one optimization target, several multi-objective optimization strategies have been adopted in energy systems and industrial processes. A novel combined cooling, heating and power (CCHP) based compressed air energy storage system is proposed in [19], in which the evolutionary multi-objective algorithm is used to optimize the overall exergy efficiency and the total specific cost of product of the novel CCHP system. In [20,21] they propose multi-objective energy benchmarks based on the energy consumption forecast and integrated assessment.…”
Section: Introductionmentioning
confidence: 99%